# If a client is stuck on a feature while sharing their screen, how would you help them?

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Source: https://www.aced.io/questions/7209/assist-client-feature-shared-screen
Source observed: 2026-11-05T00:34:22.224Z
Last checked: 2026-11-05T00:34:22.224+00:00
Indexed: 2026-11-07T01:29:19.201+00:00

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# If a client is stuck on a feature while sharing their screen, how would you help them?

We are Aced, formerly Exponent, and we provide interview-preparation courses, practice, coaching, interview experiences, and community questions for technology roles. This page is a behavioral interview question focused on customer interaction and forward deployed engineering.

## Question details

- **Role:** [Forward Deployed Engineer](https://www.aced.io/questions?role=forward-deployed-engineer)
- **Company:** [Stripe](https://www.aced.io/questions?company=stripe)
- **Categories:** [Behavioral](https://www.aced.io/questions?type=behavioral), [Customer Interaction](https://www.aced.io/questions?type=customer-interaction)
- **Interview experiences:** 1 shared
- **Reported last asked:** 5 months ago

The question asks how a candidate would help a client who is stuck on a feature while sharing their screen. No community answer has been contributed yet. Signing in or signing up is required to answer, save, or submit the question as complete.

## Interview experience

A shared [Stripe Forward Deployed Engineer interview experience](https://www.aced.io/experiences/stripe-forward-deployed-engineer-interview-5498d0) describes the process as:

> This was a really quick process for me: recruiter chat, two technical phone screens, then four final-round interviews. The early rounds covered broad web-dev fundamentals, debugging, and a small API-to-UI coding task that later got expanded in the onsite. The final loop felt more performative than most because there was clearly a hidden rubric beyond just solving the prompt, especially around communication, customer instincts, and how I use AI while coding. The coding round explicitly allowed AI, but they seemed to care much more about whether I could break work down, steer the model, and review it critically than whether I could one-shot a solution. The behavioral side also cared a lot about why Stripe and whether I really wanted a customer-facing role like this.

## Related questions

- [How would you improve the Google Photos Sharing feature?](https://www.aced.io/questions/6533/improve-google-photos-sharing-feature)
- [How would you measure the success of Asana's feature improvement to their ticketing system?](https://www.aced.io/questions/2512/measure-success-asana-feature-improvement)

## Related courses

### [Forward Deployed Engineering Interviews](https://www.aced.io/courses/forward-deployed-engineering)

![Forward Deployed Engineering Interviews](https://images.ctfassets.net/x78yjrjc11pq/25mhKSvDOiCwC89lDj89Ah/9a5fbfacc8d93f05c238ab55baa4e5e5/fde.png?w=800&h=800&fm=webp&q=75)

We help candidates prepare for forward deployed engineering roles at companies such as Google, Anthropic, OpenAI, and startups through mock interviews, frameworks, and advice from senior candidates. The course covers system design, coding, and behavioral interviews.

### [Behavioral Interviews: A Practical Guide for Engineers](https://www.aced.io/courses/eng-behavioral)

![Behavioral Interviews: A Practical Guide for Engineers](https://images.ctfassets.net/x78yjrjc11pq/47qcoHjzFZXE37GoacedkB/9d8e3f4910d8b06b21e76745cd9cbff3/AdobeStock_1142146335.jpeg?w=800&h=800&fm=webp&q=75)

We help engineers prepare for senior-plus behavioral interviews at FAANG and Tier-1 companies. The course is made with staff and principal engineers from Meta, Netflix, Google, and other companies, and covers avoiding downleveling, elevating past projects, and communicating naturally.

## Practice with AI

Use [Practice with AI](https://www.aced.io/practice/ai/new?type=Behavioral&question=assist-client-feature-shared-screen&src=questions) to practice this behavioral question. An account is required to submit an answer.

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